Data management : data databases and warehousing
Chapter
Databases and Warehousing
th
Information Technology For Management 6 Edition Information Technology For Management 6 Edition
Turban, Leidner, McLean, Wetherbe
Lecture Slides by L. Beaubien, Providence College
John Wiley & Sons, Inc. Chapter 3 1 Learning Objectives Learning Objectives
Recognize the importance of data, managerial R i th i t f d t i l
z z
issues, and life cycle
z Describe sources of data, collection, and quality z z Describe DMS Describe DMS
Describe Data Warehousing and Analytical g y
z
Processing
z z Describe DBMS (benefits and issues) Describe DBMS (benefits and issues) Chapter 3 2 Learning Objectives (Continued)
Learning Objectives (Continued)
z
Understand conceptual logical and physical
z
Understand conceptual, logical, and physical
dataz Understand ERD z Understand ERD z The importance of Marketing z The Internet and Data Management
Chapter 3 3
Data Life Cycle Process Data Life Cycle Process
Chapter 3 4 Transactional vs. Analytical Data P Processing i t akes place in operat ional
z Tr a n sa ct ion a l pr oce ssin g
syst em s ( TPS) t ( TPS) t hat provide t he organizat ion wit h t he t h t id t h i t i it h t h capabilit y t o perform business t ransact ions and produce t ransact ion report s. The dat a are organized m ainly in a hierarchical st ruct ure and are cent rally processed. This is hierarchical st ruct ure and are cent rally processed. This is
done prim arily for fast and efficient processing of rout ine,
repet it ive dat a. z z
Supplem ent ary act ivit y t o t ransact ion processing is Supplem ent ary act ivit y t o t ransact ion processing is
called a n a lyt ica l pr oce ssin g, w hich involves t he analysis of accum ulat ed dat a. Analyt ical processing, som et im es
referred t o as business int elligence, includes g , dat a m ining, g, decision support syst em s ( DSS) , querying, and ot her analysis act ivit ies. These analyses place st rat egic inform at ion in t he hands of decision m akers t o enhance
product ivit y and m ake bet t er decisions, leading t o great er product ivit y and m ake bet t er decisions leading t o great er com pet it ive advant age.
Chapter 3 5 Forms for Modeling Data (ERD) Forms for Modeling Data (ERD)
z
Entities
z
Entities
z Attributes z
Relations
Chapter 3 6
7 Chap te r 3
ata D Data f o of
Hierarchy of Data (cont d) Hierarchy of Data (cont’d)
Chapter 3 8
The Data Warehouse & Data Management g
Chapter 3 9 Web-based Data Management
- – content and information
Systems
Chapter 3 10 Managerial Issues Managerial Issues
z Cost-benefit issues and justification z Where to store data physically z Where to store data physically z Legal issues z Legal issues z Internal or external? z Data Delivery
Chapter 3 11 Managerial Issues (Continued)
Managerial Issues (Continued)
z Disaster recovery y z Data security and ethics z Ethics: Paying for use of data z Privacy z Legacy Data
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Chapter 3 13